神经元活动的随机动力学方面

Stochastic dynamical aspects of neuronal activity.

作者信息

Blanchard P, Combe P, Nencka H, Rodriguez R

机构信息

Theoretische Physik und BiBoS, Universität Bielefeld, Federal Republic of Germany.

出版信息

J Math Biol. 1993;31(2):189-98. doi: 10.1007/BF00171226.

DOI:10.1007/BF00171226

PMID:8445350

Abstract

A stochastic model of neuronal activity is proposed. Some stochastic differential equations based on jump processes are used to investigate the behavior of the membrane potential at a time scale small with respect to the neuronal states time evolution. A model for learning, implying short memory effects, is described.

摘要

提出了一种神经元活动的随机模型。一些基于跳跃过程的随机微分方程被用于研究在相对于神经元状态时间演化较小的时间尺度上膜电位的行为。描述了一种暗示短期记忆效应的学习模型。